Summary of Do Mice Grok? Glimpses Of Hidden Progress During Overtraining in Sensory Cortex, by Tanishq Kumar et al.
Do Mice Grok? Glimpses of Hidden Progress During Overtraining in Sensory Cortex
by Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan, Venkatesh N. Murthy, Samuel J. Gershman
First submitted to arxiv on: 5 Nov 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Neurons and Cognition (q-bio.NC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract presents a study that explores whether task-relevant representation learning continues even when behavior stops changing. The researchers analyzed neural data from mice and found evidence of continued learning in the posterior piriform cortex, even after behavior plateaus at near-ceiling performance. This learning is characterized by improved decoding accuracy and increased separation of class representations in the cortex. The study also proposes a simple synthetic model that recapitulates these phenomena, which has implications for understanding overtraining reversal in animal learning. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Learning can continue even when behavior doesn’t change! Scientists studied mice to see if their brains kept learning after they got really good at a task. They found that the brain’s “representation” of the task stayed updated, even when the mouse’s actions didn’t change. This means that the brain is still processing and refining what it has learned, even when it seems like nothing new is happening. The study also shows how this kind of learning can help explain why animals sometimes reverse their behavior after being overtrained. |
Keywords
» Artificial intelligence » Representation learning
